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The Effect of Using Computer Technology Tools to Enhance the Teaching-Learning Process in CAD-CAM-CNC Module in Mechanical Engineering Subject Area

Abdulrasool, Salah Mahdi, Mishra, Rakesh, Khalaf, Haifa and Al Seddiqi, Mohamed (2010) The Effect of Using Computer Technology Tools to Enhance the Teaching-Learning Process in CAD-CAM-CNC Module in Mechanical Engineering Subject Area. In: Global Learn Asia Pacific 2010: Global Conference on Learning and Technology. Association for the Advancement of Computing in Education (AACE), Vancouver, Canada, p. 9. ISBN 1-880094-79-7

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Abstract

This study presents the evaluation of Computer Assisted Learning (CAL) package included in the teaching and learning methodology of computer aided design- computer aided design - computer numerical control (CAD-CAM-CNC) module.
Three groups of students with similar pre-abilities were exposed to three different teaching learning methodologies.The effectiveness of these three methods was determined by questionnaires completed by the students and collected by first author. Their answers were analysed quantitatively and qualitatively. The various categories used in the questionnaire was student’s attitudes towards learning CAD-CAM-CNC subjects, students’ opinions about their lecturers approaches to teaching process, students’ opinions and views about various aspects the CAD-CAM-CNC. The study concludes that the students taught with a combination of CAL package and traditional methods were more effective, efficient and satisfied with their learning experiences. So the proposed hybrid learning method (CAI plus traditional teaching method) is most suited for CAD-CAM-CNC teaching.

Computer Technology; Computer-Assisted Instruction (CAI); Computer Assisted Learning (CAL); Computer Aided Design (CAD); Computer Aided Manufacturing (CAM); Computer Numerical Control (CNC).

Item Type: Book Chapter
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Pedagogical Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
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Depositing User: Salah Al Hamad
Date Deposited: 27 May 2010 08:55
Last Modified: 29 Aug 2015 02:38
URI: http://eprints.hud.ac.uk/id/eprint/7691

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